package Orc1;   
  
import java.awt.Graphics2D;   
import java.awt.color.ColorSpace;   
import java.awt.geom.AffineTransform;   
import java.awt.image.AffineTransformOp;   
import java.awt.image.BufferedImage;   
import java.awt.image.ColorConvertOp;   
import java.awt.image.ColorModel;   
import java.awt.image.MemoryImageSource;   
import java.awt.image.PixelGrabber;   
  
public class ImageFilter {   
 private BufferedImage image;   
  
 private int iw, ih;   
  
 private int[] pixels;   
  
 public ImageFilter(BufferedImage image) {   
  this.image = image;   
  iw = image.getWidth();   
  ih = image.getHeight();   
  pixels = new int[iw * ih];   
 }   
  
 /** 图像二值化 */  
 public BufferedImage changeGrey() {   
  PixelGrabber pg = new PixelGrabber(image.getSource(), 0, 0, iw, ih, pixels, 0, iw);   
  try {   
   pg.grabPixels();   
  } catch (InterruptedException e) {   
   e.printStackTrace();   
  }   
  // 设定二值化的域值，默认值为100   
  int grey = 100;   
  // 对图像进行二值化处理，Alpha值保持不变   
  ColorModel cm = ColorModel.getRGBdefault();   
  for (int i = 0; i < iw * ih; i++) {   
   int red, green, blue;   
   int alpha = cm.getAlpha(pixels[i]);   
   if (cm.getRed(pixels[i]) > grey) {   
    red = 255;   
   } else {   
    red = 0;   
   }   
  
   if (cm.getGreen(pixels[i]) > grey) {   
    green = 255;   
   } else {   
    green = 0;   
   }   
  
   if (cm.getBlue(pixels[i]) > grey) {   
    blue = 255;   
   } else {   
    blue = 0;   
   }   
  
   pixels[i] = alpha << 24 | red << 16 | green << 8 | blue;   
  }   
  // 将数组中的象素产生一个图像   
  return ImageIOHelper.imageProducerToBufferedImage(new MemoryImageSource(iw, ih, pixels, 0, iw));   
 }   
  
 /** 提升清晰度,进行锐化 */  
 public BufferedImage sharp() {   
  PixelGrabber pg = new PixelGrabber(image.getSource(), 0, 0, iw, ih, pixels, 0, iw);   
  try {   
   pg.grabPixels();   
  } catch (InterruptedException e) {   
   e.printStackTrace();   
  }   
  
  // 象素的中间变量   
  int tempPixels[] = new int[iw * ih];   
  for (int i = 0; i < iw * ih; i++) {   
   tempPixels[i] = pixels[i];   
  }   
  // 对图像进行尖锐化处理，Alpha值保持不变   
  ColorModel cm = ColorModel.getRGBdefault();   
  for (int i = 1; i < ih - 1; i++) {   
   for (int j = 1; j < iw - 1; j++) {   
    int alpha = cm.getAlpha(pixels[i * iw + j]);   
  
    // 对图像进行尖锐化   
    int red6 = cm.getRed(pixels[i * iw + j + 1]);   
    int red5 = cm.getRed(pixels[i * iw + j]);   
    int red8 = cm.getRed(pixels[(i + 1) * iw + j]);   
    int sharpRed = Math.abs(red6 - red5) + Math.abs(red8 - red5);   
  
    int green5 = cm.getGreen(pixels[i * iw + j]);   
    int green6 = cm.getGreen(pixels[i * iw + j + 1]);   
    int green8 = cm.getGreen(pixels[(i + 1) * iw + j]);   
    int sharpGreen = Math.abs(green6 - green5) + Math.abs(green8 - green5);   
  
    int blue5 = cm.getBlue(pixels[i * iw + j]);   
    int blue6 = cm.getBlue(pixels[i * iw + j + 1]);   
    int blue8 = cm.getBlue(pixels[(i + 1) * iw + j]);   
    int sharpBlue = Math.abs(blue6 - blue5) + Math.abs(blue8 - blue5);   
  
    if (sharpRed > 255) {   
     sharpRed = 255;   
    }   
    if (sharpGreen > 255) {   
     sharpGreen = 255;   
    }   
    if (sharpBlue > 255) {   
     sharpBlue = 255;   
    }   
  
    tempPixels[i * iw + j] = alpha << 24 | sharpRed << 16 | sharpGreen << 8 | sharpBlue;   
   }   
  }   
  
  // 将数组中的象素产生一个图像   
  return ImageIOHelper.imageProducerToBufferedImage(new MemoryImageSource(iw, ih, tempPixels, 0, iw));   
 }   
  
 /** 中值滤波 */  
 public BufferedImage median() {   
  PixelGrabber pg = new PixelGrabber(image.getSource(), 0, 0, iw, ih, pixels, 0, iw);   
  try {   
   pg.grabPixels();   
  } catch (InterruptedException e) {   
   e.printStackTrace();   
  }   
  // 对图像进行中值滤波，Alpha值保持不变   
  ColorModel cm = ColorModel.getRGBdefault();   
  for (int i = 1; i < ih - 1; i++) {   
   for (int j = 1; j < iw - 1; j++) {   
    int red, green, blue;   
    int alpha = cm.getAlpha(pixels[i * iw + j]);   
  
    // int red2 = cm.getRed(pixels[(i - 1) * iw + j]);   
    int red4 = cm.getRed(pixels[i * iw + j - 1]);   
    int red5 = cm.getRed(pixels[i * iw + j]);   
    int red6 = cm.getRed(pixels[i * iw + j + 1]);   
    // int red8 = cm.getRed(pixels[(i + 1) * iw + j]);   
  
    // 水平方向进行中值滤波   
    if (red4 >= red5) {   
     if (red5 >= red6) {   
      red = red5;   
     } else {   
      if (red4 >= red6) {   
       red = red6;   
      } else {   
       red = red4;   
      }   
     }   
    } else {   
     if (red4 > red6) {   
      red = red4;   
     } else {   
      if (red5 > red6) {   
       red = red6;   
      } else {   
       red = red5;   
      }   
     }   
    }   
  
    // int green2 = cm.getGreen(pixels[(i - 1) * iw + j]);   
    int green4 = cm.getGreen(pixels[i * iw + j - 1]);   
    int green5 = cm.getGreen(pixels[i * iw + j]);   
    int green6 = cm.getGreen(pixels[i * iw + j + 1]);   
    // int green8 = cm.getGreen(pixels[(i + 1) * iw + j]);   
  
    // 水平方向进行中值滤波   
    if (green4 >= green5) {   
     if (green5 >= green6) {   
      green = green5;   
     } else {   
      if (green4 >= green6) {   
       green = green6;   
      } else {   
       green = green4;   
      }   
     }   
    } else {   
     if (green4 > green6) {   
      green = green4;   
     } else {   
      if (green5 > green6) {   
       green = green6;   
      } else {   
       green = green5;   
      }   
     }   
    }   
  
    // int blue2 = cm.getBlue(pixels[(i - 1) * iw + j]);   
    int blue4 = cm.getBlue(pixels[i * iw + j - 1]);   
    int blue5 = cm.getBlue(pixels[i * iw + j]);   
    int blue6 = cm.getBlue(pixels[i * iw + j + 1]);   
    // int blue8 = cm.getBlue(pixels[(i + 1) * iw + j]);   
  
    // 水平方向进行中值滤波   
    if (blue4 >= blue5) {   
     if (blue5 >= blue6) {   
      blue = blue5;   
     } else {   
      if (blue4 >= blue6) {   
       blue = blue6;   
      } else {   
       blue = blue4;   
      }   
     }   
    } else {   
     if (blue4 > blue6) {   
      blue = blue4;   
     } else {   
      if (blue5 > blue6) {   
       blue = blue6;   
      } else {   
       blue = blue5;   
      }   
     }   
    }   
    pixels[i * iw + j] = alpha << 24 | red << 16 | green << 8 | blue;   
   }   
  }   
  
  // 将数组中的象素产生一个图像   
  return ImageIOHelper.imageProducerToBufferedImage(new MemoryImageSource(iw, ih, pixels, 0, iw));   
 }   
  
 /** 线性灰度变换 */  
 public BufferedImage lineGrey() {   
  PixelGrabber pg = new PixelGrabber(image.getSource(), 0, 0, iw, ih, pixels, 0, iw);   
  try {   
   pg.grabPixels();   
  } catch (InterruptedException e) {   
   e.printStackTrace();   
  }   
  // 对图像进行进行线性拉伸，Alpha值保持不变   
  ColorModel cm = ColorModel.getRGBdefault();   
  for (int i = 0; i < iw * ih; i++) {   
   int alpha = cm.getAlpha(pixels[i]);   
   int red = cm.getRed(pixels[i]);   
   int green = cm.getGreen(pixels[i]);   
   int blue = cm.getBlue(pixels[i]);   
  
   // 增加了图像的亮度   
   red = (int) (1.1 * red + 30);   
   green = (int) (1.1 * green + 30);   
   blue = (int) (1.1 * blue + 30);   
   if (red >= 255) {   
    red = 255;   
   }   
   if (green >= 255) {   
    green = 255;   
   }   
   if (blue >= 255) {   
    blue = 255;   
   }   
   pixels[i] = alpha << 24 | red << 16 | green << 8 | blue;   
  }   
  
  // 将数组中的象素产生一个图像   
  
  return ImageIOHelper.imageProducerToBufferedImage(new MemoryImageSource(iw, ih, pixels, 0, iw));   
 }   
  
 /** 转换为黑白灰度图 */  
 public BufferedImage grayFilter() {   
  ColorSpace cs = ColorSpace.getInstance(ColorSpace.CS_GRAY);   
  ColorConvertOp op = new ColorConvertOp(cs, null);   
  return op.filter(image, null);   
 }   
  
 /** 平滑缩放 */  
 public BufferedImage scaling(double s) {   
  AffineTransform tx = new AffineTransform();   
  tx.scale(s, s);   
  AffineTransformOp op = new AffineTransformOp(tx, AffineTransformOp.TYPE_BILINEAR);   
  return op.filter(image, null);   
 }   
  
 public BufferedImage scale(Float s) {   
  int srcW = image.getWidth();   
  int srcH = image.getHeight();   
  int newW = Math.round(srcW * s);   
  int newH = Math.round(srcH * s);   
  // 先做水平方向上的伸缩变换   
  BufferedImage tmp=new BufferedImage(newW, newH, image.getType());    
  Graphics2D g= tmp.createGraphics();    
  for (int x = 0; x < newW; x++) {   
   g.setClip(x, 0, 1, srcH);   
   // 按比例放缩   
   g.drawImage(image, x - x * srcW / newW, 0, null);   
  }   
  
  // 再做垂直方向上的伸缩变换   
  BufferedImage dst = new BufferedImage(newW, newH, image.getType());    
  g = dst.createGraphics();   
  for (int y = 0; y < newH; y++) {   
   g.setClip(0, y, newW, 1);   
   // 按比例放缩   
   g.drawImage(tmp, 0, y - y * srcH / newH, null);   
  }   
  return dst;   
 }   
  
}  
